How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 72 [The Movielife] *
4 [Nick Ghanbarian] *
16 [Vinnie Caruana] *
1 [Alex Amiruddin] *
1 [Brandon Reilly (2)] *
1 [Dan Navetta] *
1 [Evan Baken] *
1 [Phil Navetta] *
144 [Taking Back Sunday] *
16 [Matt Rubano] *
4 [Jesse Lacey] *
4 [John Nolan] *
1 [Adam Lazzara] *
1 [Antonio Longo (3)] *
4 [Fred Mascherino] *
1 [John Nolan (5)] *
1 [Matt Fazzi] *
1 [Shaun Cooper] *
1 [Steven DeJoseph] *
1 [Mark O'Connell]
)
= 2.72B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.13 [The Movielife] *
1 [Nick Ghanbarian] *
1 [Vinnie Caruana] *
1 [Alex Amiruddin] *
1 [Brandon Reilly (2)] *
1 [Dan Navetta] *
1 [Evan Baken] *
1 [Phil Navetta] *
1 [Taking Back Sunday] *
1 [Matt Rubano] *
1 [Jesse Lacey] *
1 [John Nolan] *
1 [Adam Lazzara] *
1 [Antonio Longo (3)] *
1 [Fred Mascherino] *
1 [John Nolan (5)] *
1 [Matt Fazzi] *
1 [Shaun Cooper] *
1 [Steven DeJoseph] *
1 [Mark O'Connell]
)
= 1.13
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Taking Back Sunday 51.43%The Movielife 25.71%Vinnie Caruana 5.71%Matt Rubano 5.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)